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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 4069
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    Explanations

    names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, likely names and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.72
    eatures
    -0.62
     tre
    -0.61
     cruelty
    -0.57
    iaries
    -0.57
    perty
    -0.57
     hemor
    -0.56
     streng
    -0.56
     proble
    -0.55
    iliation
    -0.54
    POSITIVE LOGITS
    haar
    0.77
    ño
    0.75
    mere
    0.74
    Corp
    0.72
    kamp
    0.72
    furt
    0.71
    Coin
    0.71
    pillar
    0.70
    æ©
    0.68
    minus
    0.68
    Activations Density 0.319%

    No Known Activations